Zobrazeno 1 - 10
of 26
pro vyhledávání: '"Jai Hyun Park"'
Publikováno v:
BMC Genomics, Vol 23, Iss 1, Pp 1-19 (2022)
Abstract Background Disclosure of patients’ genetic information in the process of applying machine learning techniques for tumor classification hinders the privacy of personal information. Homomorphic Encryption (HE), which supports operations betw
Externí odkaz:
https://doaj.org/article/c86c4799970f403aa2aba50d41e42fef
Publikováno v:
International Journal of Information Security. 21:953-971
Publikováno v:
IEEE Transactions on Information Forensics and Security. 17:2553-2568
Publikováno v:
BioResources. 16:6643-6660
Cordycepin (3′-deoxyadenosine) is a nucleoside analog that exhibits a broad spectrum of biological activity. The effects of different tree sawdust on cordycepin as bioactive substances for mycelium growth were investigated. Pine sawdust was essenti
Publikováno v:
Journal of Agriculture & Life Science. 54:7-15
Soil properties are important environmental conditions affecting fruit quality and yield in new cultivars of Actinidia arguta. The yield of three A. arguta cultivars (cv. Autumn Sense, cv. Chungsan, and cv. Greenball) from Wonju city, South Korea was
Publikováno v:
Journal of Agriculture & Life Science. 54:9-16
The road slopes have various problems such as the risk of landslides and soil erosion, and research on stabilizing road slopes using plant greening has attracted the most attention. The overall objective of this research was to evaluate the effects o
Background: In a secure genome analysis competition called iDASH 2020, the homomorphic encryption task was to develop a multi-label tumor classification method for predicting the classes of samples based on genetic information. The scenario is that a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c77d4da9b5016205bfc88ea10c6eb144
https://doi.org/10.21203/rs.3.rs-584746/v1
https://doi.org/10.21203/rs.3.rs-584746/v1
Publikováno v:
BMC genomics. 23(1)
BackgroundDisclosure of patients’ genetic information in the process of applying machine learning techniques for tumor classification hinders the privacy of personal information. Homomorphic Encryption (HE), which supports operations between encryp
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783030384708
SAC
SAC
Cluster analysis is one of the most significant unsupervised machine learning methods, and it is being utilized in various fields associated with privacy issues including bioinformatics, finance and image processing. In this paper, we propose a pract
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::bf31558e80def71eb363fa181dee3fb0
https://doi.org/10.1007/978-3-030-38471-5_10
https://doi.org/10.1007/978-3-030-38471-5_10
Small punch and uniaxial creep fracture behaviours of modified SUS304H steel at various temperatures
Publikováno v:
Materials at High Temperatures. 35:378-386
Commercial austenitic stainless steel SUS304H with small amount of vanadium addition was used in this study. Small punch (SP) creep and uniaxial tensile creep tests were conducted at 650, 700, and ...